Senior Data Engineer

About

Elevate your career as a Senior Data Engineer with expertise in Databricks. Lead the design and implementation of advanced data platforms in a fully remote setting, emphasizing hands-on experience in scalable pipelines and cloud architecture.

This role requires a skilled engineer capable of contributing to platform architecture, ensuring reliable data solutions, and applying best practices in testing, deployment, and governance. You will work collaboratively with distributed teams to build maintainable and secure data systems, harnessing Databricks and AWS technologies effectively.

Key Responsibilities:

• Design scalable data platforms using Databricks and AWS
• Architect end-to-end implementations for data platforms
• Develop robust pipelines with Python, PySpark, and SQL
• Implement Infrastructure as Code practices
• Collaborate with engineering teams on best practices

Requirements:

• Deep expertise in Databricks platforms
• Experience as Solution Architect or Data Platform Owner
• Strong programming skills in Python, PySpark, SQL
• Solid experience with CI/CD and DevOps
• Experience with Delta Lake and AWS IAM roles

Drive impactful data solutions by leveraging your engineering skills and cloud expertise.